Bibliographic record
Abstract
The analyzed market of board games is quite widespread in the world. This market is only gaining momentum and becomes interesting in the future in Ukraine, as it is potentially large-scale and not yet saturated with goods. Indeed, the market is gradually changing and there was a particular jump during the lockdown when people got into board games. Therefore, the article reviews the board games market, which, due to the impact of the Covid-19 pandemic, had a different impact on the enterprise’s activities in this field of activity. Thus, in the retail market, we are observing a decrease in sales volumes and the shopping areas closure, the world-class festivals closure or cancellation. We are observing the e-commerce activation and an increase in the sales volume through the Internet on the other hand. The review of the world market made it possible to identify the main players who are active in such European countries as Germany, France, Poland and the American market - in the USA and Canada. Having analyzed the work of world-scale festivals, we were able to determine those options for cooperation between Ukrainian producers and idea owners that allow promoting novelties on the national market. The sales volume structure of board games by the largest manufacturers, including TAKA MAKA, Feelindigo, Bombat Game, Danto, Thinkers and Kozak Games, is given. A brief description of the most famous board games, on which many generations grew up in the world and Ukrainian board games market, is given. Analysis of domestic sellers activities on the analyzed market made it possible to classify all types of board games. Since the consumer is the main target for the marketing activities of any board game manufacturer, consumer research has made it possible to identify the needs that consumers most often want to satisfy when buying board games today. Among the most important advantages is the possibility of having fun and developing the child. This is an important emphasis when conducting communication activities by board game developers. In addition, we conducted consumer segmentation through a study activities one of the largest stores on the board game market in Lviv – the Octopus store.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".